PreprintCited by 750Advanced Proteomics Techniques and ApplicationsBioinformatics and Genomic NetworksGenomics and Phylogenetic Studies

A deep proteome and transcriptome abundance atlas of 29 healthy human tissues

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Wang, Dongxue, Eraslan, Basak, Wieland, Thomas, Hallström, Björn, Hopf, Thomas, Zolg, Daniel Paul, Zecha, Jana, Asplund, Anna +11 more·2018·Molecular Systems Biology

Preprint — published as 10.15252/msb.20188503 · Paper page

Abstract

Genome-, transcriptome- and proteome-wide measurements provide valuable insights into how biological systems are regulated. However, even fundamental aspects relating to which human proteins exist, where they are expressed and in which quantities are not fully understood. Therefore, we have generated a systematic, quantitative and deep proteome and transcriptome abundance atlas from 29 paired healthy human tissues from the Human Protein Atlas Project and representing human genes by 17,615 transcripts and 13,664 proteins. The analysis revealed that few proteins show truly tissue-specific expression, that vast differences between mRNA and protein quantities within and across tissues exist and that the expression levels of proteins are often more stable across tissues than those of transcripts. In addition, only ~2% of all exome and ~7% of all mRNA variants could be confidently detected at the protein level showing that proteogenomics remains challenging, requires rigorous validation using synthetic peptides and needs more sophisticated computational methods. Many uses of this resource can be envisaged ranging from the study of gene/protein expression regulation to protein biomarker specificity evaluation to name a few.

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Authors
Wang, D., Eraslan, B., Wieland, T., Hallström, B., Hopf, T., Zolg, D. P., Zecha, J., Asplund, A., Li, L.-H., Meng, C., Frejno, M., Schmidt, T., Schnatbaum, K., Wilhelm, M., Ponten, F., Uhlen, M., Gagneur, J., Hahne, H., & Kuster, B.
Affiliations
  • Technical University of Munich (DE)
  • Science for Life Laboratory (SE)
  • Uppsala University (SE)
  • JPT Peptide Technologies (Germany) (DE)
Corresponding author
  • Gagneur, Julien
  • Hahne, Hannes
Venue
Molecular Systems Biology
Publisher
openRxiv
Published
2018-06-27
Volume
15
Issue
2
Pages
e8503-e8503
ISSN
1744-4292 (ISSN-L)
OpenAlex
W2950512597
Cited by
750
References
1
Citations by year
2026: 64 · 2025: 97 · 2024: 100 · 2023: 125 · 2022: 122 · 2021: 117 · 2020: 92 · 2019: 29 · 2018: 2
FWCI
36.04
Type
journal article
Language
en
Open access
Licence
other-oa
Locations
  • Molecular Systems Biology (publishedVersion, other-oa)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Uppsala University Publications (Uppsala University) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • mediaTUM (Technical University of Munich) (submittedVersion, other-oa)
  • mediaTUM (Technical University of Munich) (submittedVersion)
Funders
  • Knut och Alice Wallenbergs Stiftelse
  • China Scholarship Council
  • Akademiska Sjukhuset
  • Uppsala Universitet
Topics
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
Keywords
human tissue proteome, protein abundance, mRNA-protein correlation, tissue-specific gene expression, proteogenomics, amino acid variants, testis, Human Protein Atlas, biomarker specificity, gene expression regulation
MeSH terms
Gene Expression Regulation, Humans, RNA, Messenger, Mass Spectrometry, Tissue Distribution, Genome, Human, Sequence Analysis, RNA, Proteome, Proteomics, Transcriptome

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